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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

Showing 811820 of 1207 papers

TitleStatusHype
Automated triage of COVID-19 from various lung abnormalities using chest CT features0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk0
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study0
Unified Supervised-Unsupervised (SUPER) Learning for X-ray CT Image Reconstruction0
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric SegmentationCode1
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks0
TorchRadon: Fast Differentiable Routines for Computed TomographyCode1
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep LearningCode1
Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images0
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